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SSDBM 2017 : 29th International Conference on Scientific and Statistical Database Management


Conference Series : Statistical and Scientific Database Management
When Jun 27, 2017 - Jun 29, 2017
Where Chicago, IL
Abstract Registration Due Feb 3, 2017
Submission Deadline Feb 10, 2017
Notification Due Apr 18, 2017
Final Version Due May 16, 2017

Call For Papers

The 29th International Conference on Scientific and Statistical Database Management June 27-29, 2017 (Research papers due: February 3rd, 2017)
Chicago, USA

The recent success of “Big Data” is partly the results of decades of research work on large scientific and statistical data. Indeed, scientific data sets such as those from large physics experiments and statistical data sets such as those from national censuses are the original forms of “Big Data.” The tools and techniques developed for these forms of “Big Data” have led to the discovery of the Higgs Boson (aka, the god particle) and the emergence of behavioral economics. As forms and varieties of scientific and statistical data evolve, work on organizing, analyzing, publishing and preserving the data sets and their derived artifacts is thriving. In particular, advances in computer architectures and High Performance Computing (HPC) techniques are opening new opportunities to accelerate the analysis of even large data sets. The SSDBM international conference brings together scientific domain experts, database researchers, practitioners, and system developers for the presentation and exchange of current research results on concepts, tools, and techniques for scientific and statistical data-driven applications. This conference series has a long history of publishing state-of- art work on large scientific and socioeconomic data. The conference program typically consists of a single track to facilitate discussion, and contains presentations of varying lengths, such as invited talks, panel sessions, and demonstrations of research prototypes and industrial systems.
The 29th SSDBM (aka SSDBM 2017) invites submissions of original research contributions on scalable algorithms and practical system designs involving all aspects of large scientific data and statistical data. SSDBM 2017 will have a focus on high-performance predictive analytics tools and techniques, with a special emphasis on streaming data from multiple sources.

Important dates:
Submissions due: February 3rd, 2017
Notifications: April 18, 2017
Conference dates: June 27-29, 2017
Conference dinner: June 28, 2017

Keynote Speaker 1: Rob Ross

The Gleacher Center
The University Chicago Booth School of Business
450 North Cityfront Plaza Drive
Chicago, Illinois 60611

General Chair: Alok Choudhary
Program Chair: John Wu
Local Organizing: Goce Trajcevski
Logistics: Arie Shoshani
Proceedings: Bin Dong
Demos: Florin Rusu

Conference Web site (
Submission Web Site (

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